Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst image
Author:
Affiliation:
1. Medical Data Labo Okayama City Japan
2. Department of Gynecologic Oncology Saitama Medical University International Medical Center Hidaka City Japan
3. Okayama Couple’s Clinic Okayama City Japan
Publisher
Wiley
Subject
Cell Biology,Reproductive Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/rmb2.12267
Reference54 articles.
1. Predictive value of oocyte morphology in human IVF: a systematic review of the literature;Rienzi L;Hum Reprod,2011
2. Choosing the best embryo by time lapse versus standard morphology
3. Sequential embryo scoring as a predictor of aneuploidy in poor-prognosis patients
4. Influence of patient age on the association between euploidy and day-3 embryo morphology
5. Assessment of day-3 morphology and euploidy for individual chromosomes in embryos that develop to the blastocyst stage
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